摘要
为解决预售策略下的快速时尚品物流分销网络的选址与分配问题,将最小化网络运作成本作为决策目标,构建了反映网络销售商与顾客决策行为的双层规划模型。模型充分考虑了决策双方的共同利益,并利用交互式模糊算法来确定中央仓库和第三方物流企业的选择、分配及服务方案。通过实例分析,既验证了算法的可行性,同时也表明了中央仓库的选址应尽量靠近需求点密集的区域,网络销售商应提供少量第三方物流服务企业供顾客选择。
To solve the location-allocation problem of logistics network with respect to fast fashion products under a pre- sale strategy, a bi-level programming mode/capturing the behaviors of online retailers and customers was proposed to minimize a total cost arising in the service of the logistics network. Common interests of the online retailer and the customer were considered synthetically. According to the characteristics of proposed model, an interactive fuzzy algorithm was adopted to determine locations, allocations, service plans of warehouse and third-party logistics enterprises. A ease study was conducted to validate the feasibility of the proposed model and algorithm. The results reveal that the central warehouse should be located in a place close to areas of dense demand and the online retailers should provide a small amount of third-party logistics enterprices for customer selection.
出处
《计算机应用》
CSCD
北大核心
2012年第5期1311-1315,共5页
journal of Computer Applications
基金
国家社会科学基金资助项目(11BJL054)
中央高校基本科研业务费专项资金资助项目(2010XS48)
西南交通大学博士生创新基金资助项目
关键词
快速时尚品
预售策略
物流分销网络
双层规划
交互式模糊算法
fast fahion product
pre-sale strategy
logistics distribution network
hi-level programming
interactive fuzzyalgorithm
